Director of GTM & Presales Engineering Crayon Data

9 - 14 years

32 - 37 Lacs

Chennai

Work from Office

Who Were Looking For A strategic and results-driven Director of GTM and Pre-Sales Engineering to lead go-to-market and pre-sales efforts for our AI-driven products. This role will define and execute GTM strategies to drive customer acquisition, revenue growth, and market expansion, working closely with Product, Marketing, Sales, and Customer Success. Role Overview Join our global team to position Crayon Data as the leading AI solutions provider, working with the founders to shape the Crayon brand and maya.ai platform story. Youll drive GTM and pre-sales efforts, with a strong emphasis on GenAI and Data Science. Key Responsibilities GTM Strategy and Execution : Craft and execute GTM strategies focused on growth in SaaS, Fintech, and AI sectors, with a keen eye on GenAI and Data Science opportunities. Market Analysis and Positioning: Analyze the market to identify key trends, customer needs, and competitor insights, positioning us effectively in AI, Fintech, and SaaS. Pre-Sales Engineering Leadership : Lead pre-sales engineering to develop technical solutions and demonstrations aligned with client needs, showcasing our AI and GenAI capabilities. Cross-functional Collaboration : Align with Product, Sales, Marketing, and Customer Success teams to ensure smooth transitions across the customer journey. Revenue and Sales Enablement : Drive pricing and positioning strategies to maximize profitability. Empower Sales with tools, training, and support for successful pitching and closing. Product Launch and Customer Lifecycle P : lan product launches with Product and Marketing. Drive customer acquisition, retention, and growth strategies using GenAI -driven solutions. Analytics and Reporting : Track and refine GTM and pre-sales metrics, using data-driven insights to continuously optimize strategies. Requirements Experience: 8+ years in GTM or pre-sales leadership; 5+ years in SaaS, Fintech, or AI-driven sectors. Technical Knowledge: Strong grasp of GenAI and Data Science solutions, with hands-on experience in pre-sales engineering. Analytical and Leadership Skills: Data-driven decision-making and experience managing cross-functional teams. Communication and Adaptability: Excellent communicator, able to convey complex ideas simply, with adaptability in a fast-paced environment. Preferred Industry Expertise : Deep knowledge of SaaS, Fintech, AI, and Data Science trends and regulations. Strategic Mindset : Ability to anticipate market shifts and innovate solutions. Client Relationship : Experience fostering client and partner relationships for channel growth.

Posted 2 months ago

Apply

APPLICATION ARCHITECT Pepsico

4 - 6 years

14 - 19 Lacs

Hyderabad

Work from Office

Overview The Application Architect will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the cornerstone of scalable digital transformation across PepsiCos value chain. This leader will establish an end-to-end vision of the overall application design and provide technology leadership to the application architecture in terms of focus, technical direction, and breadth of coverage of relevant technologies. Responsibilities Demonstrated passion for excellence with respect to Engineering services, education, and support Strong interpersonal skills, ability to navigate through a complex and matrixed internal environment Ability to work collaboratively with regional and global partners in other functional units Ability to navigate a complex organization and to influence and lead people across cultures at a senior level Qualifications A Bachelors Degree in Computer Science, Engineering, or a related field Masters in Computer Science or Engineering preferred Minimum of 12 years of relevant software development and engineering leadership experience 5+ years of experience architecting fault tore, high scale distributed system Commanding knowledge of data structures, algorithms, and object-oriented design Working knowledge of programming languages beyond Java (e.g. Ruby, Python, Perl) Experience with Azure, Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions Experience with mission critical, 24x7 systems Experience with high throughput cloud native distributed systems Experience implementing and consuming large-scale web services Deep knowledge of design patterns Experience with JavaScript/TypeScript, Node.js, React-Redux or other front-end frameworks Full stack engineering experience

Posted 2 months ago

Apply

Page 3 of 3

Previous 1 2 3

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.